no code implementations • 8 Nov 2018 • Cheng Daning, Zhang Hanping, Xia Fen, Li Shigang, Zhang Yunquan
In this paper, we use gradient information and machine learning model analysis information to accelerate traditional hyperparameter optimization methods SMBO.
no code implementations • 12 Apr 2018 • Cheng Daning, Xia Fen, Li Shigang, Zhang Yunquan
One of the most important machine learning algorithms is Gradient Boosting Decision Tree, i. e. GBDT whose training process needs considerable computational resources and time.
no code implementations • 16 Aug 2017 • Cheng Daning, Li Shigang, Zhang Yunquan
Stochastic gradient descent (SGD) is a popular stochastic optimization method in machine learning.